Machine learning algorithms are key to modern at-scale cyberdefense. Transfer learning is a state of the art ML paradigm that enables applying knowledge and algorithms developed from one field to another, resulting in innovative solutions. This talk presents transfer learning in action wherein techniques created from other areas are successfully re-purposed and applied to cybersecurity.

Speaker: Mark Russinovich

Mark Russinovich is Chief Technology Officer for Microsoft Azure, Microsoft’s global enterprise-grade cloud platform. A widely recognized expert in distributed systems and operating systems, Russinovich earned a Ph.D. in computer engineering from Carnegie Mellon University. He later co-founded Winternals Software, joining Microsoft in 2006 when the company was acquired. Today he remains the Primary Author of the Sysinternals tools and website, which include dozens of popular Windows administration and diagnostic utilities. He is a popular Speaker at conferences such as IPExpo, Microsoft Ignite and RSA Conference. His nonfiction and fiction books include the Microsoft Press Windows Internals book series, as well as fictional cybersecurity thrillers Zero Day, Trojan Horse and Rogue Code.